houghline

一个自由、开源的图形库--FreeImage3.92最新版的中文参考(支持位图构件―例如调色板和数据位―的便易访问；将位图从一种位深度转换到另一种位深度；当有多幅位图页―例如TIFF―时访问位图的不同页；基本的位图处理，如旋转、翻转（flipping）和重采样，或点操作，如亮度和对比度调整；Alpha混合与合成（Compositing and blending）；FreeImage不支持：高级图象处理操作，如回卷（Convolution）和变换（Transform）；位图绘制； 矢量图形。)(a free, revenue graphics library-- the latest version FreeImage3 .92 reference to the Chinese (support bitmap elements- such as transfer shade and data spaces- the easy access; will be from a bitmap-depth conversion to another kind of depth; When a number of bitmap page- such as TIFF- Bitmap to visit the different pages; basic bitmap processing, such as rotation, Upset (flipping) and resampling, or point operations, such as brightness and contrast adjustments; Alpha mixed with the synthetic (Compositing and blending); FreeImage not support : Advanced image processing operation, If the response (Convolution) and transform (Transform); bitmap rendering; Vector graphics.))

meanshift 图像分割及平滑 包括meanshift的论文及ppt(Code for the Edge Detection and Image Segmentation system and the paper)

实现单尺度retinex算法，用于图像的对比度增强，对低能见度图像处理效果较好。(Retinex single-scale algorithm for image contrast enhancement, image processing on low visibility is better.)

说明：  此代码可以进行指纹识别，包括预处理，特征提取，(This code can be used for fingerprint identification, including preprocessing, feature extraction,)

一种针对光照不均且低对比度环境下的水下图像增强算法。(Underwater image enhancement algorithm in a low contrast environment)

这个代码可以获取一种颜色可以生成10进制的数，和一个16进制的数(the code can get a color can generate 10 to the 229 number, and a few of the 229 16)

水平集方法的图像边缘检测算法，包括参考论文和matlab的demo及其测试图像(Level set method of image edge detection algorithm, including the reference papers and matlab the demo and test images)

说明：  jm软件源码，用于流媒体编码标准H264的性能评测(jm-source software for streaming media encoding standard of the performance evaluation H264)

目标跟踪源码，MATLAB编写的！里面包含三个子函数！(target tracking source, MATLAB! Functions of which contains three!)

说明：  此工具包包含实现独立成分分析的若干matlab程序(The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA).)